Experimental validation of an unpowered unmanned aerial system : application to forced landing scenarios


Autoria(s): Mejias, Luis; Eng, Pillar C.
Data(s)

01/06/2012

Resumo

The ability to perform autonomous emergency (forced) landings is one of the key technology enablers identified for UAS. This paper presents the flight test results of forced landings involving a UAS, in a controlled environment, and which was conducted to ascertain the performances of previously developed (and published) path planning and guidance algorithms. These novel 3-D nonlinear algorithms have been designed to control the vehicle in both the lateral and longitudinal planes of motion. These algorithms have hitherto been verified in simulation. A modified Boomerang 60 RC aircraft is used as the flight test platform, with associated onboard and ground support equipment sourced Off-the-Shelf or developed in-house at the Australian Research Centre for Aerospace Automation(ARCAA). HITL simulations were conducted prior to the flight tests and displayed good landing performance, however, due to certain identified interfacing errors, the flight results differed from that obtained in simulation. This paper details the lessons learnt and presents a plausible solution for the way forward.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/50713/

Relação

http://eprints.qut.edu.au/50713/1/FL_JINT_2012.pdf

Mejias, Luis & Eng, Pillar C. (2012) Experimental validation of an unpowered unmanned aerial system : application to forced landing scenarios. In Digital Proceedings of the 2012 International Conference on Unmanned Aircraft Systems (ICUAS'12), Sheraton Philadelphia University City Hotel, Philadelphia, PA. (In Press)

Direitos

Copyright 2012 [Please consult the author]

Fonte

Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #080104 Computer Vision #090104 Aircraft Performance and Flight Control Systems #Forced Landing #Path Planning #Unmanned Aerial Vehicles #UAS
Tipo

Conference Paper